In this episode, I’m joined by David Rosenberg, data scientist in the office of the CTO at financial publisher Bloomberg, to discuss his work on “Extracting Data from Tables and Charts in Natural Document Formats.”

Bloomberg is dealing with tons of financial and company data in pdfs and other unstructured document formats on a daily basis. To make meaning from this information more efficiently, David and his team have implemented a deep learning pipeline for extracting data from the documents. In our conversation, we dig into the information extraction process, including how it was built, how they sourced their training data, why they used LaTeX as an intermediate representation and how and why they optimize on pixel-perfect accuracy. There’s a lot of interesting info in this show and I think you’re going to enjoy it.

Join me at the AI Summit

Are you an IT, technology or business leader who needs to get smart on the broad spectrum of machine learning and AI opportunities in the enterprise? Or, perhaps someone in your organization could benefit from a level-up in this area? (Or, maybe you would benefit from them leveling up!) If this sounds like you, or someone you know, you’ll probably be interested in my upcoming AI Summit event.

Think of the event as a two-day, no-fluff, Technical MBA in machine learning & AI. You’ll leave with a clear understanding of:

-How machine learning and deep learning work (no math required)
-How to identify machine learning and deep learning opportunities in your organization
-How to understand and take advantage of technologies like computer vision and natural language processing
-How to manage and label data to take advantage of ML and AI
-And how to build an AI-first culture, and operationalize AI in your business.

You’ll have an informed perspective on what’s going on across the ML and AI landscape, and will be able to engage confidently in discussions about machine learning and AI with your colleagues, customers and partners. I’m super excited about this event and the speakers you’ll get a chance to learn from. For more information visit twimlai.com/aisummit, and feel free to contact me with your questions.